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Statistical analysis of durability data.

Twine, T J*; Hall, M* (1999) Statistical analysis of durability data. NPL Report. CMMT(A)202

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The performance of adhesively bonded joints is often considered to be too variable for all but the least demanding of applications. The variation often observed is due to a lack of knowledge and control of critical variables in the joint manufacturing and testing processes. Such variation can be magnified by durability testing to a point where no statistically valid conclusions can be made even though significant time, effort and cost have usually been expended. Design of experiments (DOE) is a rational scientific approach which enables quantification of input variables and their interactions on the output (e.g. joint strength). The technique allows the user to refine a process in order to optimise the output according to specific requirements. This approach avoids subjectivity and when correctly applied can improve performance characteristics, reduce costs and decrease product development and production time.
This report presents a compilation of case studies, demonstrating the effectiveness of DOE and other statistical analysis techniques in assessing durability data, quantifying critical factors and their interactions which give rise to environmental failure, and determining the statistical validity of any conclusions drawn by the case study authors. The case studies presented in this report are based on durability data supplied by the Defence Evaluation and Research Agency (Farnborough, United Kingdom) and generated within the Department of Trade and Industry funded Measurement Technology and Standards (MTS) projects “Environmental Durability of Adhesive Bonds, ADH3 (1993-1996)” and ”Performance of Adhesive Joints - Combined Loading and Hostile Environments PAJ3 (1996-1999)”.

Item Type: Report/Guide (NPL Report)
NPL Report No.: CMMT(A)202
Subjects: Advanced Materials
Last Modified: 02 Feb 2018 13:18
URI: http://eprintspublications.npl.co.uk/id/eprint/1270

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